from sklearn import preprocessing
import numpy as np

data = [
 [16000, 31469, 17465, 42629, 39088],
 [53599, 48288 ,22273, 48841 ,21552],
 [54217, 30530, 17753, 29766, 40994],
 [54048, 34483, 32055 ,14341 , 5566],
 [47995 , 16000 ,41085, 16173 ,20460]]
print(data)
print("*"*50)
min_max = preprocessing.MinMaxScaler()
res = min_max.fit_transform(data)
print(res)